Biblio
Filters: Author is Zegzhda, Dmitry [Clear All Filters]
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2019. Using GRU neural network for cyber-attack detection in automated process control systems. 2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). :1—3.
This paper provides an approach to the detection of information security breaches in automated process control systems (APCS), which consists in forecasting multivariate time series formed from the values of the operating parameters of the end system devices. Using an experimental model of water treatment, a comparison was made of the forecasting results for the parameters characterizing the operation of the entire model, and for the parameters characterizing the flow of individual subprocesses implemented by the model. For forecasting, GRU-neural network training was performed.
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2019. Detection of information security breaches in distributed control systems based on values prediction of multidimensional time series. 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS). :780–784.
Proposed an approach for information security breaches detection in distributed control systems based on prediction of multidimensional time series formed of sensor and actuator data.
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2018. Floating Genesis Block Enhancement for Blockchain Based Routing Between Connected Vehicles and Software-defined VANET Security Services. Proceedings of the 11th International Conference on Security of Information and Networks. :24:1–24:2.
The paper reviews the issue of secure routing in unmanned vehicle ad-hoc networks. Application of the Blockchain technology for routing and authentication information storage and distribution is proposed. A blockchain with the floating genesis block is introduced to solve problems associated with blockchain size growth in the systems using transactions with limited lifetime.